Kedis ku xidhan hagaha · Dhexdhexaad Heerka
Kediska Fadeexadaha Algorithm ee Faa'iidooyinka Xannaanada Ilmaha ee Nederlaan
Wuxuu tijaabiyaa sida qaabka khatarta Nederlaanku u isticmaalo jinsiyadda, sababta waxyeelladu uga timid nidaamka oo dhan ma aha oo kaliya algorithm, iyo Xeerka AI ee khatarta sare leh.
Su'aal 1 ee 8
Which factor did the tax administration's risk classification model use that was found to be discriminatory?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- Which factor did the tax administration's risk classification model use that was found to be discriminatory?
- The parent's income bracket
- Non-Dutch nationality
- The number of children in daycare
- The childcare agency's size
- What did the Dutch Data Protection Authority conclude in 2020?
- The model was lawful but poorly documented
- Only the childcare agencies had broken the law
- The algorithm had never been used
- The processing of nationality and dual nationality data was unlawful and discriminatory
- What happened to parents labeled as acting with intent or gross negligence?
- They were refused payment arrangements for their debts
- They received extra allowance
- Their files were automatically closed
- They were given priority appeals
- What was the title of the December 2020 parliamentary inquiry report?
- Xenophobic Machines
- Machine Bias
- Unprecedented Injustice
- Fraud Signaling Facility
- What political consequence followed the scandal?
- The tax administration was abolished
- Prime Minister Mark Rutte's cabinet resigned in January 2021
- The Netherlands left the EU AI Act negotiations
- Childcare allowances were eliminated
- How can a feedback loop make a fraud risk model confirm its own bias?
- Models automatically delete old data
- Human reviewers always overrule the model
- Random sampling removes all bias
- Flagged groups get more scrutiny, more discrepancies are found, and those findings become training labels
- According to the guide, what actually caused the harm in the scandal?
- The algorithm alone
- The risk model combined with harsh recovery rules, a presumption of fraud, secrecy and weak appeals
- Only the use of nationality, which would have been fixed by removing it
- Fraud by the childcare agencies themselves
- How does the EU AI Act classify AI used to assess eligibility for public benefits?
- As minimal risk with no obligations
- As fully prohibited in all cases
- As high risk
- As outside the Act's scope